SQL Masterclass: SQL for Data Analytic

4.9( 9 REVIEWS )
548 STUDENTS

Description

Nowadays, SQL Developers are in-demand and becoming a SQL developer can be a rewarding and fulfilling profession.

This SQL Masterclass: SQL for Data Analytic is intended for absolute beginners that concentrate on giving the appropriate knowledge of Microsoft SQL Server and help to acquire the skills and abilities to become an SQL Server developer as well as offer many job opportunities in the competitive job market.

In this course, you will learn how to create databases, tables, design databases and tables. You will also learn to create flat file database, confidently use SSMS Tool as well as write basic T-SQL Queries. In addition to that, learn to create constraints and views in the most dynamic way possible.

Enrol right now and start exploring SQL, the most popular relational database management system.

Entry Requirement:

  • This course is available to all learners, of all academic backgrounds.
  • Learners should be aged 16 or over to undertake the qualification.
  • Good understanding of English language, numeracy and ICT are required to attend this course.

Assessment:  

  • At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.
  • Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam.

Certification:

After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24.

Why choose us?

  • Affordable, engaging & high-quality e-learning study materials;
  • Tutorial videos/materials from the industry leading experts;
  • Study in a user-friendly, advanced online learning platform;
  • Efficient exam systems for the assessment and instant result;
  • The UK & internationally recognized accredited qualification;
  • Access to course content on mobile, tablet or desktop from anywhere anytime;
  • The benefit of career advancement opportunities;
  • 24/7 student support via email.

Career Path

After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.

Course Curriculum

SQL for Data Analytic - Beginner Level
Module: 01
Introduction FREE 00:16:00
Tools for Creating Views 00:11:00
Examples 00:21:00
Updating Data Using a View 00:13:00
Columns and Indexed Views 00:18:00
Module: 02
Introduction Stored Procedures 00:18:00
Creating Stored Procedures 00:19:00
Returning Data 00:14:00
Module: 03
Testing and Debugging 00:17:00
Execute with Result Sets 00:11:00
Creating Triggers 00:26:00
Module: 04
Overview and Scalar Functions 00:20:00
Inline Table Valued Functions 00:11:00
Multi Statement 00:16:00
Views and Stored Procedures 00:18:00
Module: 05
Transaction Concepts 00:30:00
Applications and Transactions 00:13:00
Creating Explicit Transactions 00:29:00
Structured Error Handling 00:25:00
Module: 06
Introduction to SQL CLR 00:08:00
Writing SQL CLR Code 00:24:00
Using SQL CLR Code 00:22:00
SQL CLR Code 00:13:00
SQL CLR Security 00:20:00
SQL for Data Analytic - Intermediate Level
Module: 07
Topic A Aggregates FREE 00:27:00
Topic B User Defined Types 00:17:00
Topic C Table and Functions 00:10:00
Topic D Managing Code Modules 00:08:00
Module: 08
Topic A Introduction Data Tools 00:19:00
Topic B Connected Database Development 00:20:00
Topic C Updating a Connected Database 00:16:00
Module: 09
Topic A Creating New Objects with TSQL 00:12:00
Topic B Comparing Database Schemas 00:10:00
Topic C Offline Database Development 00:13:00
Topic D Database Project Settings 00:18:00
Module: 10
Topic A Using APPLY 00:15:00
Topic B MERGE Statement 00:23:00
Topic C Creating Recursive Queries 00:08:00
Topic D Grouping Sets 00:12:00
Module: 11
Topic A ROLLUP and CUBE Operators 00:12:00
Topic B Creating Pivot Queries 00:14:00
Topic C Executing Dynamic SQL 00:28:00
Module: 12
Topic A Complex Query Execution 00:26:00
Topic B Using Execution Plans 00:16:00
Topic C Execution Plan Operators 00:12:00
Topic D Common Join Operators 00:16:00
Module: 13
Topic A Hierarchy ID Data Type 00:12:00
Topic B Exploring a Hierarchy 00:09:00
Topic C Sparse Columns 00:16:00
Topic D Column Sets 00:12:00
Module: 14
Topic A Filtered Indexes 00:09:00
Topic B FILESTREAM Storage 00:22:00
Topic C Adding Sequences to Queries 00:22:00
Module: 15
Topic A Introduction to Spatial Data 00:13:00
Topic B Spatial Data in SQL Server 00:23:00
Topic C Manipulating Spatial Shapes 00:10:00
Topic D Interactions Between Objects 00:09:00
SQL for Data Analytic - Advanced Level
Module: 16
Topic A Partitioning FREE 00:20:00
Topic B Creating Partition Tables 00:30:00
Topic C Querying Partitions 00:14:00
Topic D Managing Partitions 00:17:00
Module: 17
Topic A Complex Querying 00:22:00
Topic B Rankings 00:15:00
Topic C SubQueries 00:21:00
Topic D Common Table Expressions 00:17:00
Module: 18
Topic A Complex Data and Structures 00:26:00
Topic B Efficient Queries 00:36:00
Topic C Complex Queries 00:17:00
Module: 19
Topic A XML Data Type 00:28:00
Topic B XML Schemas 00:17:00
Topic C Querying XML 00:20:00
Topic D Best Practices 00:08:00

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